AI, Data Science & Cloud Certificates from Google, IBM & Meta
Lead AI Strategy with UCSB's Agentic AI Program — Microsoft Certified
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
Learn to integrate MCP (Model Context Protocol) servers with Google Gemini through this comprehensive 10-minute tutorial covering both command-line interface setup and Code Assist extension integration. Follow step-by-step instructions to configure Gemini CLI, set up MCP servers in project folders, and utilize Google's Code Assist extension for enhanced development workflows. Discover how to remove MCP servers when needed, explore practical usage examples of Gemini with MCP integration, and compare results between different implementation approaches. Master the process of extending Gemini's capabilities through MCP servers to improve your AI-assisted development experience, whether working from the command line or within your IDE using Google's Code Assist extension.
Syllabus
00:00 - Intro
00:24 - Using Gemini in the CLI
02:14 - How to remove an MCP server
02:41 - Setting up Gemini in the project folder
04:36 - Using Gemini
06:34 - Using Google's Code Assist extension
08:56 - Code Assist's results
09:29 - Outro
Taught by
Snyk